{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notebook to visualize simulated Alpine-3D grids\n",
    "## First, import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import geopandas as gpd\n",
    "import glob\n",
    "import urllib.request\n",
    "import moviepy.editor as mpy\n",
    "from palettable.colorbrewer.sequential import *\n",
    "from palettable.colorbrewer.diverging import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download file from dropbox and plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2020-07-23 14:20:35--  https://www.dropbox.com/s/l035enj35bsxsd6/a3d_grids.nc?dl=0\n",
      "Resolving www.dropbox.com (www.dropbox.com)... 162.125.8.1, 2620:100:601b:1::a27d:801\n",
      "Connecting to www.dropbox.com (www.dropbox.com)|162.125.8.1|:443... connected.\n",
      "HTTP request sent, awaiting response... 301 Moved Permanently\n",
      "Location: /s/raw/l035enj35bsxsd6/a3d_grids.nc [following]\n",
      "--2020-07-23 14:20:35--  https://www.dropbox.com/s/raw/l035enj35bsxsd6/a3d_grids.nc\n",
      "Reusing existing connection to www.dropbox.com:443.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com/cd/0/inline/A8GU0-0pKI-CnnxDXXOxpmwjvT42j3kMk7c7Kn3JHQchr0_LWt5ebSBFh3pnZAxs7FrLbCapyjYx2i77ApdchwDtyqxbUrALZ6kAaZILKygtCZjI3ep2ELf03S1LBFhUr_s/file# [following]\n",
      "--2020-07-23 14:20:35--  https://ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com/cd/0/inline/A8GU0-0pKI-CnnxDXXOxpmwjvT42j3kMk7c7Kn3JHQchr0_LWt5ebSBFh3pnZAxs7FrLbCapyjYx2i77ApdchwDtyqxbUrALZ6kAaZILKygtCZjI3ep2ELf03S1LBFhUr_s/file\n",
      "Resolving ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com (ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com)... 162.125.8.15, 2620:100:601b:15::a27d:80f\n",
      "Connecting to ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com (ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com)|162.125.8.15|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: /cd/0/inline2/A8G9ctXDYpQmE1uLAP1MO0UhktbnquDw4i5VkCIfxzn5MwxSvM445EGpZAxZSq60P32_gFb6t9vL4IqDeJlvNAEhulQhEoi-5a-htxlxgc7zIB4iWcN7Sz1tlxXj7adJgxowS47HOddG3DrYe6G9j_gTt4SaNO2TB5z1PAEhCg10J0ScczC24AQ2eL6hY-U04U-3CmoQHcMLC6QgSfFiXKKhZQYrud4NOEVnwcEoWzWouRIHYgBiv5aBGN3GiVPZ-Tx3yevldkFzRlipxu5lJJvDa-EEbih7VXoQLJ2ox4BL-HPpzo5RSSkS8Tdesnle98r7d4Sbg2Hnr5g56wCrBK_2rfVThSKsNKioAXx6q8Q0-A/file [following]\n",
      "--2020-07-23 14:20:36--  https://ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com/cd/0/inline2/A8G9ctXDYpQmE1uLAP1MO0UhktbnquDw4i5VkCIfxzn5MwxSvM445EGpZAxZSq60P32_gFb6t9vL4IqDeJlvNAEhulQhEoi-5a-htxlxgc7zIB4iWcN7Sz1tlxXj7adJgxowS47HOddG3DrYe6G9j_gTt4SaNO2TB5z1PAEhCg10J0ScczC24AQ2eL6hY-U04U-3CmoQHcMLC6QgSfFiXKKhZQYrud4NOEVnwcEoWzWouRIHYgBiv5aBGN3GiVPZ-Tx3yevldkFzRlipxu5lJJvDa-EEbih7VXoQLJ2ox4BL-HPpzo5RSSkS8Tdesnle98r7d4Sbg2Hnr5g56wCrBK_2rfVThSKsNKioAXx6q8Q0-A/file\n",
      "Reusing existing connection to ucc6477888e60cde4fcdef1488dd.dl.dropboxusercontent.com:443.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 1011092 (987K) [application/x-netcdf]\n",
      "Saving to: ‘a3d_grids.nc’\n",
      "\n",
      "100%[======================================>] 1,011,092   --.-K/s   in 0.1s    \n",
      "\n",
      "2020-07-23 14:20:36 (7.70 MB/s) - ‘a3d_grids.nc’ saved [1011092/1011092]\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b98e79f2550>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "!wget -O a3d_grids.nc https://www.dropbox.com/s/l035enj35bsxsd6/a3d_grids.nc?dl=0\n",
    "file_name=\"a3d_grids.nc\"\n",
    "ds = xr.open_dataset(file_name)\n",
    "SMB = ds['pr'] - ds['SFC_SUBL'] - ds['MS_SNOWPACK_RUNOFF']\n",
    "SMB = SMB.cumsum(dim='time')\n",
    "SMB[-1,:,:].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<title>Show/Hide data repr</title>\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<title>Show/Hide attributes</title>\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-daf7b677-997c-4e3b-af2d-cd1a65771259' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-daf7b677-997c-4e3b-af2d-cd1a65771259' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>easting</span>: 168</li><li><span class='xr-has-index'>northing</span>: 107</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-886046c0-6d8d-4dc9-92af-d9e58e7a5105' class='xr-section-summary-in' type='checkbox'  checked><label for='section-886046c0-6d8d-4dc9-92af-d9e58e7a5105' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T12:00:00</div><input id='attrs-ee52e912-a971-475a-bc39-ce7147f49015' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee52e912-a971-475a-bc39-ce7147f49015' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad2e30af-e0e6-4397-9691-6888ccc45130' class='xr-var-data-in' type='checkbox'><label for='data-ad2e30af-e0e6-4397-9691-6888ccc45130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;1980-01-01T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-109000.0 -108000.0 ... -3000.0</div><input id='attrs-b524471f-79b7-447c-aa0b-d7ea4d8ae2f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b524471f-79b7-447c-aa0b-d7ea4d8ae2f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe4e3fb4-d4fb-46b8-8524-6a6fa237d5ee' class='xr-var-data-in' type='checkbox'><label for='data-fe4e3fb4-d4fb-46b8-8524-6a6fa237d5ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([-109000., -108000., -107000., -106000., -105000., -104000., -103000.,\n",
       "       -102000., -101000., -100000.,  -99000.,  -98000.,  -97000.,  -96000.,\n",
       "        -95000.,  -94000.,  -93000.,  -92000.,  -91000.,  -90000.,  -89000.,\n",
       "        -88000.,  -87000.,  -86000.,  -85000.,  -84000.,  -83000.,  -82000.,\n",
       "        -81000.,  -80000.,  -79000.,  -78000.,  -77000.,  -76000.,  -75000.,\n",
       "        -74000.,  -73000.,  -72000.,  -71000.,  -70000.,  -69000.,  -68000.,\n",
       "        -67000.,  -66000.,  -65000.,  -64000.,  -63000.,  -62000.,  -61000.,\n",
       "        -60000.,  -59000.,  -58000.,  -57000.,  -56000.,  -55000.,  -54000.,\n",
       "        -53000.,  -52000.,  -51000.,  -50000.,  -49000.,  -48000.,  -47000.,\n",
       "        -46000.,  -45000.,  -44000.,  -43000.,  -42000.,  -41000.,  -40000.,\n",
       "        -39000.,  -38000.,  -37000.,  -36000.,  -35000.,  -34000.,  -33000.,\n",
       "        -32000.,  -31000.,  -30000.,  -29000.,  -28000.,  -27000.,  -26000.,\n",
       "        -25000.,  -24000.,  -23000.,  -22000.,  -21000.,  -20000.,  -19000.,\n",
       "        -18000.,  -17000.,  -16000.,  -15000.,  -14000.,  -13000.,  -12000.,\n",
       "        -11000.,  -10000.,   -9000.,   -8000.,   -7000.,   -6000.,   -5000.,\n",
       "         -4000.,   -3000.], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1542000.0 ... -1375000.0</div><input id='attrs-2f90e4d6-386c-4ed9-885d-08234d50146d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f90e4d6-386c-4ed9-885d-08234d50146d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad3ae98e-7e0b-4e7e-8dbe-7cdeaa1fb385' class='xr-var-data-in' type='checkbox'><label for='data-ad3ae98e-7e0b-4e7e-8dbe-7cdeaa1fb385' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([-1542000., -1541000., -1540000., -1539000., -1538000., -1537000.,\n",
       "       -1536000., -1535000., -1534000., -1533000., -1532000., -1531000.,\n",
       "       -1530000., -1529000., -1528000., -1527000., -1526000., -1525000.,\n",
       "       -1524000., -1523000., -1522000., -1521000., -1520000., -1519000.,\n",
       "       -1518000., -1517000., -1516000., -1515000., -1514000., -1513000.,\n",
       "       -1512000., -1511000., -1510000., -1509000., -1508000., -1507000.,\n",
       "       -1506000., -1505000., -1504000., -1503000., -1502000., -1501000.,\n",
       "       -1500000., -1499000., -1498000., -1497000., -1496000., -1495000.,\n",
       "       -1494000., -1493000., -1492000., -1491000., -1490000., -1489000.,\n",
       "       -1488000., -1487000., -1486000., -1485000., -1484000., -1483000.,\n",
       "       -1482000., -1481000., -1480000., -1479000., -1478000., -1477000.,\n",
       "       -1476000., -1475000., -1474000., -1473000., -1472000., -1471000.,\n",
       "       -1470000., -1469000., -1468000., -1467000., -1466000., -1465000.,\n",
       "       -1464000., -1463000., -1462000., -1461000., -1460000., -1459000.,\n",
       "       -1458000., -1457000., -1456000., -1455000., -1454000., -1453000.,\n",
       "       -1452000., -1451000., -1450000., -1449000., -1448000., -1447000.,\n",
       "       -1446000., -1445000., -1444000., -1443000., -1442000., -1441000.,\n",
       "       -1440000., -1439000., -1438000., -1437000., -1436000., -1435000.,\n",
       "       -1434000., -1433000., -1432000., -1431000., -1430000., -1429000.,\n",
       "       -1428000., -1427000., -1426000., -1425000., -1424000., -1423000.,\n",
       "       -1422000., -1421000., -1420000., -1419000., -1418000., -1417000.,\n",
       "       -1416000., -1415000., -1414000., -1413000., -1412000., -1411000.,\n",
       "       -1410000., -1409000., -1408000., -1407000., -1406000., -1405000.,\n",
       "       -1404000., -1403000., -1402000., -1401000., -1400000., -1399000.,\n",
       "       -1398000., -1397000., -1396000., -1395000., -1394000., -1393000.,\n",
       "       -1392000., -1391000., -1390000., -1389000., -1388000., -1387000.,\n",
       "       -1386000., -1385000., -1384000., -1383000., -1382000., -1381000.,\n",
       "       -1380000., -1379000., -1378000., -1377000., -1376000., -1375000.],\n",
       "      dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-fd94926a-112e-43d5-87be-f049094a848d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd94926a-112e-43d5-87be-f049094a848d' class='xr-section-summary' >Data variables: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>dw</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>288.49902 290.8898 ... nan nan</div><input id='attrs-29994011-cc5c-490b-8458-5ea95212d7c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29994011-cc5c-490b-8458-5ea95212d7c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8d2b4ec-cef4-48cd-a951-d157a41e8f61' class='xr-var-data-in' type='checkbox'><label for='data-b8d2b4ec-cef4-48cd-a951-d157a41e8f61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>degree</dd></dl></div><pre class='xr-var-data'>array([[[288.49902, 290.8898 , ..., 273.51422, 283.90988],\n",
       "        [290.57883, 290.7567 , ..., 276.5442 , 283.93185],\n",
       "        ...,\n",
       "        [286.5883 , 286.68976, ..., 288.29895, 287.96674],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.070597 9.052376 ... nan nan</div><input id='attrs-0530525c-5ad4-4549-8263-5108615e3bd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0530525c-5ad4-4549-8263-5108615e3bd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6caabd7e-ae84-4d96-b46e-8dd5f99df2d0' class='xr-var-data-in' type='checkbox'><label for='data-6caabd7e-ae84-4d96-b46e-8dd5f99df2d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_snow_thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><pre class='xr-var-data'>array([[[9.070597, 9.052376, ..., 9.855724, 9.697417],\n",
       "        [9.064718, 9.069146, ..., 9.807353, 9.675852],\n",
       "        ...,\n",
       "        [9.586462, 9.583941, ..., 9.979849, 9.979946],\n",
       "        [     nan,      nan, ...,      nan,      nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>rlds</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>191.68224 191.55414 ... nan nan</div><input id='attrs-7fc289e3-ee35-4cb6-a7e9-09a144bda302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fc289e3-ee35-4cb6-a7e9-09a144bda302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de193fdf-b363-4519-91ae-64197e3edad4' class='xr-var-data-in' type='checkbox'><label for='data-de193fdf-b363-4519-91ae-64197e3edad4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd></dl></div><pre class='xr-var-data'>array([[[191.68224, 191.55414, ..., 169.63916, 169.63916],\n",
       "        [191.7003 , 191.55414, ..., 169.67192, 169.67192],\n",
       "        ...,\n",
       "        [181.59624, 181.5006 , ..., 171.58366, 171.5398 ],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>367.4586 365.2845 ... nan nan</div><input id='attrs-e7d33291-1c2c-4269-9610-f24335756555' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7d33291-1c2c-4269-9610-f24335756555' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-668e149d-c3ca-498f-b26c-9f93cdbb7bc3' class='xr-var-data-in' type='checkbox'><label for='data-668e149d-c3ca-498f-b26c-9f93cdbb7bc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd></dl></div><pre class='xr-var-data'>array([[[367.4586 , 365.2845 , ..., 381.55704, 377.1745 ],\n",
       "        [365.56058, 365.56097, ..., 379.21762, 377.2231 ],\n",
       "        ...,\n",
       "        [374.64423, 374.57425, ..., 387.23465, 387.22937],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>MS_SNOWPACK_RUNOFF</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-280e93eb-aefa-42fe-bd14-6938b96148bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-280e93eb-aefa-42fe-bd14-6938b96148bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb74134d-561c-4a8c-b639-3fe848ddc7f5' class='xr-var-data-in' type='checkbox'><label for='data-bb74134d-561c-4a8c-b639-3fe848ddc7f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[[ 0.,  0., ...,  0.,  0.],\n",
       "        [ 0.,  0., ...,  0.,  0.],\n",
       "        ...,\n",
       "        [ 0.,  0., ...,  0.,  0.],\n",
       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.00019742099 0.0001545865 ... nan</div><input id='attrs-6ceb1519-e9ad-4d79-8d21-148489e6bf85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ceb1519-e9ad-4d79-8d21-148489e6bf85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57665e72-fefc-4a9d-b9d1-70b7a3bb4d34' class='xr-var-data-in' type='checkbox'><label for='data-57665e72-fefc-4a9d-b9d1-70b7a3bb4d34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg/m2/s</dd></dl></div><pre class='xr-var-data'>array([[[0.000197, 0.000155, ..., 0.001641, 0.001118],\n",
       "        [0.000197, 0.00015 , ..., 0.001469, 0.001051],\n",
       "        ...,\n",
       "        [0.000248, 0.000212, ..., 0.000257, 0.000269],\n",
       "        [     nan,      nan, ...,      nan,      nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_density</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>466.5282 466.56104 ... nan nan</div><input id='attrs-689afed0-875b-4b7c-83b0-b89c457cfc22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-689afed0-875b-4b7c-83b0-b89c457cfc22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c3a50f-f983-4798-9162-846bb535cab7' class='xr-var-data-in' type='checkbox'><label for='data-15c3a50f-f983-4798-9162-846bb535cab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>snow_density</dd><dt><span>units :</span></dt><dd>kg/m3</dd></dl></div><pre class='xr-var-data'>array([[[466.5282 , 466.56104, ..., 426.123  , 431.84003],\n",
       "        [466.54147, 466.53177, ..., 427.8467 , 432.63367],\n",
       "        ...,\n",
       "        [463.45792, 463.53778, ..., 438.94632, 438.94217],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>SFC_SUBL</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0052302447 0.0054155425 ... nan</div><input id='attrs-fa5746f9-458c-447e-bada-790c90a537d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa5746f9-458c-447e-bada-790c90a537d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2862b2f4-1913-464e-87db-a43b832eaaa6' class='xr-var-data-in' type='checkbox'><label for='data-2862b2f4-1913-464e-87db-a43b832eaaa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[[ 0.00523 ,  0.005416, ..., -0.007111, -0.00193 ],\n",
       "        [ 0.005312,  0.005202, ..., -0.007273, -0.001932],\n",
       "        ...,\n",
       "        [-0.000985, -0.001028, ..., -0.006703, -0.006372],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>swe</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4231.689 4223.486 ... nan nan</div><input id='attrs-4cae6553-ebe6-4d96-bdf5-e7e2f85e8d24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cae6553-ebe6-4d96-bdf5-e7e2f85e8d24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12914884-1543-440c-b3f4-a751893e41c4' class='xr-var-data-in' type='checkbox'><label for='data-12914884-1543-440c-b3f4-a751893e41c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><pre class='xr-var-data'>array([[[4231.689 , 4223.486 , ..., 4199.7505, 4187.733 ],\n",
       "        [4229.067 , 4231.0444, ..., 4196.0435, 4186.0996],\n",
       "        ...,\n",
       "        [4442.922 , 4442.519 , ..., 4380.618 , 4380.619 ],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>253.95058 253.96155 ... nan nan</div><input id='attrs-d09b4dd0-1ac0-4599-ab99-f25a03f9b6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d09b4dd0-1ac0-4599-ab99-f25a03f9b6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a310f824-94c1-46ac-a7e8-1289de1cd305' class='xr-var-data-in' type='checkbox'><label for='data-a310f824-94c1-46ac-a7e8-1289de1cd305' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>near surface air temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'>array([[[253.95058, 253.96155, ..., 255.8366 , 255.8366 ],\n",
       "        [253.94904, 253.96155, ..., 255.83379, 255.83379],\n",
       "        ...,\n",
       "        [254.81354, 254.82172, ..., 255.67021, 255.67397],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>254.1454 254.1464 ... nan nan</div><input id='attrs-ae03f33c-fc64-4799-af14-7fc1c218a18f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae03f33c-fc64-4799-af14-7fc1c218a18f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91d78f5a-eed1-40a0-87bd-79a0f4147575' class='xr-var-data-in' type='checkbox'><label for='data-91d78f5a-eed1-40a0-87bd-79a0f4147575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'>array([[[254.1454 , 254.1464 , ..., 253.6647 , 255.20036],\n",
       "        [254.14217, 254.15228, ..., 253.75722, 255.19496],\n",
       "        ...,\n",
       "        [254.60773, 254.61388, ..., 254.40036, 254.50584],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ws</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>21.803133 23.175426 ... nan nan</div><input id='attrs-5e2605ee-5c9d-4b5a-9a88-618d2a7bf31b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e2605ee-5c9d-4b5a-9a88-618d2a7bf31b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8ad6786-de2b-4a56-9526-64fb18443ff3' class='xr-var-data-in' type='checkbox'><label for='data-d8ad6786-de2b-4a56-9526-64fb18443ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><pre class='xr-var-data'>array([[[21.803133, 23.175426, ...,  4.615171,  5.584977],\n",
       "        [22.240122, 21.916723, ...,  4.843263,  5.496283],\n",
       "        ...,\n",
       "        [13.673164, 13.916443, ...,  5.915638,  6.073549],\n",
       "        [      nan,       nan, ...,       nan,       nan]]], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>VW_DRIFT</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>21.803133 23.175426 ... nan nan</div><input id='attrs-5e0b7479-0756-4a0f-b41f-2c08bb0dc272' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e0b7479-0756-4a0f-b41f-2c08bb0dc272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f22462a-8881-467a-a2c5-21ef7d48c065' class='xr-var-data-in' type='checkbox'><label for='data-6f22462a-8881-467a-a2c5-21ef7d48c065' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[[ 2.180313e+01,  2.317543e+01, ..., -6.650612e-03, -3.876911e-03],\n",
       "        [ 2.224012e+01,  2.191672e+01, ..., -5.741267e-03, -3.528110e-03],\n",
       "        ...,\n",
       "        [ 1.367316e+01,  1.391644e+01, ...,  5.915638e+00,  6.073549e+00],\n",
       "        [          nan,           nan, ...,           nan,           nan]]],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>WINDEROSIONDEPOSITION</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.0 -0.0 -0.0 -0.0 ... nan nan nan</div><input id='attrs-bd0abffb-b593-4894-ae59-e0a6cc9b3054' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd0abffb-b593-4894-ae59-e0a6cc9b3054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0cfb1d4-9b34-454e-881a-9cf0a436866d' class='xr-var-data-in' type='checkbox'><label for='data-e0cfb1d4-9b34-454e-881a-9cf0a436866d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([[[-0., -0., ...,  0.,  0.],\n",
       "        [-0., -0., ...,  0.,  0.],\n",
       "        ...,\n",
       "        [-0., -0., ..., -0., -0.],\n",
       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-a6412adc-6167-4221-893b-b6564544de84' class='xr-section-summary-in' type='checkbox'  ><label for='section-a6412adc-6167-4221-893b-b6564544de84' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>date_created :</span></dt><dd>2020-07-17</dd><dt><span>creator_name :</span></dt><dd>erke2265</dd><dt><span>source :</span></dt><dd>MeteoIO-2.81</dd><dt><span>history :</span></dt><dd>2020-07-17T23:46:22Z, erke2265@shas0240.rc.int.colorado.edu, MeteoIO-2.81</dd><dt><span>keywords_vocabulary :</span></dt><dd>AGU Index Terms</dd><dt><span>keywords :</span></dt><dd>Cryosphere, Mass Balance, Energy Balance, Atmosphere, Land/atmosphere interactions, Climatology</dd><dt><span>title :</span></dt><dd>Gridded data for various parameters and timesteps</dd><dt><span>institution :</span></dt><dd>colorado.edu</dd><dt><span>product_version :</span></dt><dd>1.0</dd><dt><span>Conventions :</span></dt><dd>CF-1.6,ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.6</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:3031</dd><dt><span>geospatial_bounds :</span></dt><dd>Polygon ((-1542000.0000000000 -109000.0000000000, -1374000.0000000000 -109000.0000000000, -1374000.0000000000 -2000.0000000000, -1542000.0000000000 -2000.0000000000))</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (easting: 168, northing: 107, time: 1)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 1980-01-01T12:00:00\n",
       "  * northing               (northing) float32 -109000.0 -108000.0 ... -3000.0\n",
       "  * easting                (easting) float32 -1542000.0 ... -1375000.0\n",
       "Data variables:\n",
       "    dw                     (time, northing, easting) float32 288.49902 ... nan\n",
       "    snd                    (time, northing, easting) float32 9.070597 ... nan\n",
       "    rlds                   (time, northing, easting) float32 191.68224 ... nan\n",
       "    rsds                   (time, northing, easting) float32 367.4586 ... nan\n",
       "    MS_SNOWPACK_RUNOFF     (time, northing, easting) float32 0.0 0.0 ... nan nan\n",
       "    pr                     (time, northing, easting) float32 0.00019742099 ... nan\n",
       "    snow_density           (time, northing, easting) float32 466.5282 ... nan\n",
       "    SFC_SUBL               (time, northing, easting) float32 0.0052302447 ... nan\n",
       "    swe                    (time, northing, easting) float32 4231.689 ... nan\n",
       "    ta                     (time, northing, easting) float32 253.95058 ... nan\n",
       "    ts                     (time, northing, easting) float32 254.1454 ... nan\n",
       "    ws                     (time, northing, easting) float32 21.803133 ... nan\n",
       "    VW_DRIFT               (time, northing, easting) float32 21.803133 ... nan\n",
       "    WINDEROSIONDEPOSITION  (time, northing, easting) float32 -0.0 -0.0 ... nan\n",
       "Attributes:\n",
       "    date_created:              2020-07-17\n",
       "    creator_name:              erke2265\n",
       "    source:                    MeteoIO-2.81\n",
       "    history:                   2020-07-17T23:46:22Z, erke2265@shas0240.rc.int...\n",
       "    keywords_vocabulary:       AGU Index Terms\n",
       "    keywords:                  Cryosphere, Mass Balance, Energy Balance, Atmo...\n",
       "    title:                     Gridded data for various parameters and timesteps\n",
       "    institution:               colorado.edu\n",
       "    product_version:           1.0\n",
       "    Conventions:               CF-1.6,ACDD-1.3\n",
       "    standard_name_vocabulary:  CF-1.6\n",
       "    cdm_data_type:             Grid\n",
       "    geospatial_bounds_crs:     EPSG:3031\n",
       "    geospatial_bounds:         Polygon ((-1542000.0000000000 -109000.00000000..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add netCDF file path, define grid variable to plot, and time step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<title>Show/Hide data repr</title>\n",
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       "\n",
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       "\n",
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2421</li><li><span class='xr-has-index'>northing</span>: 4</li><li><span class='xr-has-index'>easting</span>: 6</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-92561f6f-6611-43f3-b556-e0736434ca3c' class='xr-array-in' type='checkbox' ><label for='section-92561f6f-6611-43f3-b556-e0736434ca3c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.0002582652 0.0020101545 0.0035234608 ... 3158971.0 3057682.8</span></div><pre class='xr-array-data'>array([[[-2.58265209e-04,  2.01015454e-03,  3.52346082e-03,\n",
       "          6.34767581e-03,  1.22105591e-02,  1.26642957e-02],\n",
       "        [-3.67657654e-03, -9.81337973e-04,  6.82107639e-03,\n",
       "          1.24060614e-02,  1.33571718e-02,  1.29033979e-02],\n",
       "        [-4.29440930e-04,  3.80845158e-03,  7.05852034e-03,\n",
       "          8.96453019e-03,  1.06572947e-02,  1.25193400e-02],\n",
       "        [-7.40899146e-03,  6.14297204e-03,  8.68843496e-03,\n",
       "          6.66564610e-03,  8.61448888e-03,  1.11090383e-02]],\n",
       "\n",
       "       [[ 3.05996437e+01,  3.18211079e+01,  3.30762978e+01,\n",
       "          3.37375793e+01,  3.35949821e+01,  3.30738335e+01],\n",
       "        [ 3.30842056e+01,  3.52866058e+01,  3.75361099e+01,\n",
       "          3.86922226e+01,  3.83695564e+01,  3.70053368e+01],\n",
       "        [ 3.71684608e+01,  4.07813148e+01,  4.44633179e+01,\n",
       "          4.63002052e+01,  4.57941360e+01,  4.30701370e+01],\n",
       "        [ 4.26594315e+01,  4.78595428e+01,  5.30137062e+01,\n",
       "          5.54422798e+01,  5.45907440e+01,  5.02419891e+01]],\n",
       "\n",
       "       [[ 7.08650055e+01,  7.35778656e+01,  7.63346786e+01,\n",
       "          7.77108078e+01,  7.73527374e+01,  7.63774414e+01],\n",
       "        [ 7.66585083e+01,  8.15627441e+01,  8.64629059e+01,\n",
       "          8.87833710e+01,  8.79295120e+01,  8.52244415e+01],\n",
       "        [ 8.62159576e+01,  9.42140961e+01,  1.02114365e+02,\n",
       "          1.05719101e+02,  1.04392746e+02,  9.90603333e+01],\n",
       "        [ 9.90205688e+01,  1.10425888e+02,  1.21281433e+02,\n",
       "          1.25996368e+02,  1.24067551e+02,  1.15964325e+02]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 3.77080775e+06,  3.69839925e+06,  3.59240050e+06,\n",
       "          3.46951100e+06,  3.34387550e+06,  3.24344925e+06],\n",
       "        [ 3.73868750e+06,  3.65822750e+06,  3.54393525e+06,\n",
       "          3.41288600e+06,  3.28079625e+06,  3.17711675e+06],\n",
       "        [ 3.68673300e+06,  3.60003775e+06,  3.48059900e+06,\n",
       "          3.34692025e+06,  3.21457550e+06,  3.11150525e+06],\n",
       "        [ 3.62821575e+06,  3.53939025e+06,  3.42008650e+06,\n",
       "          3.28831325e+06,  3.15851750e+06,  3.05725525e+06]],\n",
       "\n",
       "       [[ 3.77121775e+06,  3.69874000e+06,  3.59269025e+06,\n",
       "          3.46976800e+06,  3.34411300e+06,  3.24367575e+06],\n",
       "        [ 3.73908525e+06,  3.65855550e+06,  3.54421175e+06,\n",
       "          3.41312850e+06,  3.28101775e+06,  3.17732650e+06],\n",
       "        [ 3.68711975e+06,  3.60035475e+06,  3.48086500e+06,\n",
       "          3.34715225e+06,  3.21478525e+06,  3.11170250e+06],\n",
       "        [ 3.62859725e+06,  3.53970100e+06,  3.42034625e+06,\n",
       "          3.28853875e+06,  3.15872025e+06,  3.05744475e+06]],\n",
       "\n",
       "       [[ 3.77168425e+06,  3.69913700e+06,  3.59303825e+06,\n",
       "          3.47008775e+06,  3.34441850e+06,  3.24397050e+06],\n",
       "        [ 3.73953150e+06,  3.65893350e+06,  3.54454125e+06,\n",
       "          3.41342950e+06,  3.28130275e+06,  3.17759950e+06],\n",
       "        [ 3.68754525e+06,  3.60071375e+06,  3.48117700e+06,\n",
       "          3.34743550e+06,  3.21505100e+06,  3.11195575e+06],\n",
       "        [ 3.62900775e+06,  3.54004550e+06,  3.42064500e+06,\n",
       "          3.28880825e+06,  3.15897100e+06,  3.05768275e+06]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-section-item'><input id='section-dc414ddb-e9bb-472e-8c38-4fec1d02f652' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc414ddb-e9bb-472e-8c38-4fec1d02f652' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T01:00:00 ... 1980-04-10T21:00:00</div><input id='attrs-e9cb8585-e3fa-4560-8546-6d6950404289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9cb8585-e3fa-4560-8546-6d6950404289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e123e470-6a34-49da-9885-cf2ff7e74ae2' class='xr-var-data-in' type='checkbox'><label for='data-e123e470-6a34-49da-9885-cf2ff7e74ae2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1980-01-01T03:00:00.000000000&#x27;, ..., &#x27;1980-04-10T19:00:00.000000000&#x27;,\n",
       "       &#x27;1980-04-10T20:00:00.000000000&#x27;, &#x27;1980-04-10T21:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-122000.0 -92000.0 ... -32000.0</div><input id='attrs-68f6a767-c623-4f23-b6d9-c217f36587d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68f6a767-c623-4f23-b6d9-c217f36587d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-450d1d2a-a5a4-481a-b2d8-edba8ab68242' class='xr-var-data-in' type='checkbox'><label for='data-450d1d2a-a5a4-481a-b2d8-edba8ab68242' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([-122000.,  -92000.,  -62000.,  -32000.], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1542000.0 ... -1392000.0</div><input id='attrs-9d137c99-7aa2-4ec9-9d55-651da7841c27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d137c99-7aa2-4ec9-9d55-651da7841c27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16cdd96c-6680-4e06-92e7-b717973f58cf' class='xr-var-data-in' type='checkbox'><label for='data-16cdd96c-6680-4e06-92e7-b717973f58cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([-1542000., -1512000., -1482000., -1452000., -1422000., -1392000.],\n",
       "      dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-072b4030-4d54-4e7a-ae21-0d20c040a0ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-072b4030-4d54-4e7a-ae21-0d20c040a0ad' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 2421, northing: 4, easting: 6)>\n",
       "array([[[-2.58265209e-04,  2.01015454e-03,  3.52346082e-03,\n",
       "          6.34767581e-03,  1.22105591e-02,  1.26642957e-02],\n",
       "        [-3.67657654e-03, -9.81337973e-04,  6.82107639e-03,\n",
       "          1.24060614e-02,  1.33571718e-02,  1.29033979e-02],\n",
       "        [-4.29440930e-04,  3.80845158e-03,  7.05852034e-03,\n",
       "          8.96453019e-03,  1.06572947e-02,  1.25193400e-02],\n",
       "        [-7.40899146e-03,  6.14297204e-03,  8.68843496e-03,\n",
       "          6.66564610e-03,  8.61448888e-03,  1.11090383e-02]],\n",
       "\n",
       "       [[ 3.05996437e+01,  3.18211079e+01,  3.30762978e+01,\n",
       "          3.37375793e+01,  3.35949821e+01,  3.30738335e+01],\n",
       "        [ 3.30842056e+01,  3.52866058e+01,  3.75361099e+01,\n",
       "          3.86922226e+01,  3.83695564e+01,  3.70053368e+01],\n",
       "        [ 3.71684608e+01,  4.07813148e+01,  4.44633179e+01,\n",
       "          4.63002052e+01,  4.57941360e+01,  4.30701370e+01],\n",
       "        [ 4.26594315e+01,  4.78595428e+01,  5.30137062e+01,\n",
       "          5.54422798e+01,  5.45907440e+01,  5.02419891e+01]],\n",
       "\n",
       "       [[ 7.08650055e+01,  7.35778656e+01,  7.63346786e+01,\n",
       "          7.77108078e+01,  7.73527374e+01,  7.63774414e+01],\n",
       "        [ 7.66585083e+01,  8.15627441e+01,  8.64629059e+01,\n",
       "          8.87833710e+01,  8.79295120e+01,  8.52244415e+01],\n",
       "        [ 8.62159576e+01,  9.42140961e+01,  1.02114365e+02,\n",
       "          1.05719101e+02,  1.04392746e+02,  9.90603333e+01],\n",
       "        [ 9.90205688e+01,  1.10425888e+02,  1.21281433e+02,\n",
       "          1.25996368e+02,  1.24067551e+02,  1.15964325e+02]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 3.77080775e+06,  3.69839925e+06,  3.59240050e+06,\n",
       "          3.46951100e+06,  3.34387550e+06,  3.24344925e+06],\n",
       "        [ 3.73868750e+06,  3.65822750e+06,  3.54393525e+06,\n",
       "          3.41288600e+06,  3.28079625e+06,  3.17711675e+06],\n",
       "        [ 3.68673300e+06,  3.60003775e+06,  3.48059900e+06,\n",
       "          3.34692025e+06,  3.21457550e+06,  3.11150525e+06],\n",
       "        [ 3.62821575e+06,  3.53939025e+06,  3.42008650e+06,\n",
       "          3.28831325e+06,  3.15851750e+06,  3.05725525e+06]],\n",
       "\n",
       "       [[ 3.77121775e+06,  3.69874000e+06,  3.59269025e+06,\n",
       "          3.46976800e+06,  3.34411300e+06,  3.24367575e+06],\n",
       "        [ 3.73908525e+06,  3.65855550e+06,  3.54421175e+06,\n",
       "          3.41312850e+06,  3.28101775e+06,  3.17732650e+06],\n",
       "        [ 3.68711975e+06,  3.60035475e+06,  3.48086500e+06,\n",
       "          3.34715225e+06,  3.21478525e+06,  3.11170250e+06],\n",
       "        [ 3.62859725e+06,  3.53970100e+06,  3.42034625e+06,\n",
       "          3.28853875e+06,  3.15872025e+06,  3.05744475e+06]],\n",
       "\n",
       "       [[ 3.77168425e+06,  3.69913700e+06,  3.59303825e+06,\n",
       "          3.47008775e+06,  3.34441850e+06,  3.24397050e+06],\n",
       "        [ 3.73953150e+06,  3.65893350e+06,  3.54454125e+06,\n",
       "          3.41342950e+06,  3.28130275e+06,  3.17759950e+06],\n",
       "        [ 3.68754525e+06,  3.60071375e+06,  3.48117700e+06,\n",
       "          3.34743550e+06,  3.21505100e+06,  3.11195575e+06],\n",
       "        [ 3.62900775e+06,  3.54004550e+06,  3.42064500e+06,\n",
       "          3.28880825e+06,  3.15897100e+06,  3.05768275e+06]]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 1980-01-01T01:00:00 ... 1980-04-10T21:00:00\n",
       "  * northing  (northing) float32 -122000.0 -92000.0 -62000.0 -32000.0\n",
       "  * easting   (easting) float32 -1542000.0 -1512000.0 ... -1422000.0 -1392000.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nc_path = \"../output/grids/a3d_grids.nc\"\n",
    "ds = xr.open_dataset(nc_path)\n",
    "tgt_time = \"1980-01-01T12:00:00\" # Specific timestep\n",
    "tgt_time_ind = -1 # Last timestep\n",
    "\n",
    "'''\n",
    "Surface Mass Balance:\n",
    "Precip - sublimation - runoff - net wind erosion\n",
    "Precip units: kg/m2/s\n",
    "time step = 12 hours = 60 * 60 * 12 seconds = 43200 seconds\n",
    "'''\n",
    "time_step = 60 * 60 * 12 # seconds\n",
    "SMB = ds['pr'] * time_step - ds['SFC_SUBL'] - ds['MS_SNOWPACK_RUNOFF'] # Does this includ wind erosion???\n",
    "SMB = SMB.cumsum(dim='time')\n",
    "SMB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ac0334759b0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# tmp = time_step * ds['pr'][0,:,:]\n",
    "# tmp = time_step * ds['SFC_SUBL'][0,:,:]\n",
    "tmp = time_step * ds['MS_SNOWPACK_RUNOFF'][0,:,:]\n",
    "tmp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load coastlines data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = gpd.read_file(\"/pl/active/nasa_smb/Data/ADD_Coastline_low_res_polygon.shp\")\n",
    "crs_epsg = ccrs.SouthPolarStereo()\n",
    "df_epsg = df.to_crs(epsg='3031')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ac0335a5470>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot on specific day\n",
    "# ds.sel(time=tgt_time)[var_plot].plot()\n",
    "\n",
    "# Plot last timestep\n",
    "SMB.isel(time=tgt_time_ind).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate figure \n",
    "fig, axs = plt.subplots(1, 1, subplot_kw={'projection': crs_epsg},\n",
    "                        figsize=(10, 10))\n",
    "\n",
    "# Plot coastlines\n",
    "# axs.set_extent((-180, 180, -90, -65), ccrs.PlateCarree()) # Full ice sheet\n",
    "# axs.set_extent((-110, -70, -85, -70), ccrs.PlateCarree()) # Zoom in even more on Alpine-3D domain\n",
    "axs.set_extent((-120, -70, -80, -71), ccrs.PlateCarree()) # Zoom in on Alpine-3D domain\n",
    "\n",
    "\n",
    "axs.add_geometries(df_epsg['geometry'], crs=crs_epsg,\n",
    "                      facecolor='none', edgecolor='black')\n",
    "\n",
    "# Define easting and northings\n",
    "northings = ds.sel(time=tgt_time)['northing']\n",
    "eastings = ds.sel(time=tgt_time)['easting']\n",
    "\n",
    "# Plot map\n",
    "mesh = plt.pcolormesh(eastings, northings, SMB.isel(time=tgt_time_ind))\n",
    "plt.savefig('A3D_Domain_Map.pdf', format='pdf', dpi=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make a movie of SWE and SMB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Settings\n",
    "# var = 'swe'\n",
    "# fps = 30\n",
    "# file_name = \"movie\"\n",
    "\n",
    "# # Clear old images, gifs, and movies\n",
    "# !mkdir -p movie_frame\n",
    "# !rm -f movie.gif\n",
    "# !rm -f movie.mp4\n",
    "\n",
    "# # Calculate colorbar limits\n",
    "# diff_magnitude = np.abs(ds[var] - ds.isel(time=0)[var])\n",
    "# diff_lim = diff_magnitude.max()\n",
    "# lim = ds[var].max()\n",
    "\n",
    "# for j in range(0, len(ds['time']), 2):\n",
    "# # for j in range(0, 2):\n",
    "    \n",
    "#     # Figure settings\n",
    "#     fig1, (ax1, ax2) = plt.subplots(1, 2, figsize=(15,5))\n",
    "#     time = str(ds['time'][j].values)\n",
    "    \n",
    "#     # SWE\n",
    "#     swe = ax1.pcolormesh(eastings/1000, northings/1000, ds.isel(time=j)[var], \\\n",
    "#                          cmap=Blues_9.mpl_colormap, vmin=0, vmax=lim)\n",
    "#     fig1.colorbar(swe, ax=ax1)\n",
    "#     ax1.set_title(\"SWE [mm]: \" + time[0:10])\n",
    "    \n",
    "#     # Change in SWE\n",
    "#     dswe = ax2.pcolormesh(eastings/1000, northings/1000, \\\n",
    "#                           ds.isel(time=j)[var] - ds.isel(time=0)[var], \\\n",
    "#                           cmap=RdBu_11.mpl_colormap, \\\n",
    "#                           vmin=-diff_lim, vmax=diff_lim)\n",
    "    \n",
    "#     fig1.colorbar(dswe, ax=ax2)\n",
    "#     ax2.set_title(\"Accumulated SMB [mm]: \" + time[0:10])\n",
    "    \n",
    "#     #Save Figure with image number zero padding \n",
    "#     if j < 10:\n",
    "#         plt.savefig(\"movie_frame/frame_00\" + str(j) + \".png\", dpi=100)\n",
    "#     elif j < 100 and j > 9:\n",
    "#         plt.savefig(\"movie_frame/frame_0\" + str(j) + \".png\", dpi=100)\n",
    "#     else:\n",
    "#         plt.savefig(\"movie_frame/frame_\" + str(j) + \".png\", dpi=100)\n",
    "#     plt.close()\n",
    "    \n",
    "# # Make a .mp4 movie and gif\n",
    "# file_list = sorted(glob.glob('movie_frame/*.png'))\n",
    "# clip = mpy.ImageSequenceClip(file_list, fps=fps)\n",
    "# clip.write_videofile(file_name+'.mp4')\n",
    "# clip.write_gif(file_name+'.gif')\n",
    "\n",
    "# # Clear images\n",
    "# !rm -rf movie_frame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot timeseries of integrated SMB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.]),\n",
       " array([214692.03, 214692.12, 214692.23, 214692.33, 214692.44, 214692.53,\n",
       "        214692.62, 214692.73, 214692.83, 214692.94, 214693.03],\n",
       "       dtype=float32),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SMB_t = SMB.sum(dim='northing').sum(dim='easting')\n",
    "SMB_t.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>northing</span>: 107</li><li><span class='xr-has-index'>easting</span>: 168</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d58e6f1b-6982-4e3d-91fd-a3656585e964' class='xr-array-in' type='checkbox' ><label for='section-d58e6f1b-6982-4e3d-91fd-a3656585e964' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.523356 6.672721 5.5403137 5.360279 6.004551 ... 0.0 0.0 0.0 0.0 0.0</span></div><pre class='xr-array-data'>array([[[ 8.523356 ,  6.672721 ,  5.5403137, ..., 73.66186  ,\n",
       "         70.910446 , 48.298283 ],\n",
       "        [ 8.516814 ,  6.4711103,  4.0915585, ..., 71.2206   ,\n",
       "         63.447887 , 45.41784  ],\n",
       "        [ 8.514674 ,  4.6757817,  5.146557 , ..., 66.12955  ,\n",
       "         53.662292 , 41.56237  ],\n",
       "        ...,\n",
       "        [10.692512 ,  8.950523 ,  8.976767 , ..., 10.509863 ,\n",
       "         11.189064 , 11.508143 ],\n",
       "        [10.715304 ,  9.13993  ,  8.560611 , ..., 10.134004 ,\n",
       "         11.109069 , 11.6110325],\n",
       "        [ 0.       ,  0.       ,  0.       , ...,  0.       ,\n",
       "          0.       ,  0.       ]]], dtype=float32)</pre></div></li><li class='xr-section-item'><input id='section-3ff7f4c3-ae25-432d-8a5a-2aaead1471bd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ff7f4c3-ae25-432d-8a5a-2aaead1471bd' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T12:00:00</div><input id='attrs-10308ab5-033b-4342-876c-311c47e30688' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10308ab5-033b-4342-876c-311c47e30688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40ee5b0d-11e6-4931-845c-0672df80af0a' class='xr-var-data-in' type='checkbox'><label for='data-40ee5b0d-11e6-4931-845c-0672df80af0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;1980-01-01T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-109000.0 -108000.0 ... -3000.0</div><input id='attrs-6157d42a-e7fb-4617-8b50-6aa978e208c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6157d42a-e7fb-4617-8b50-6aa978e208c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aa63b82-1ef1-44e1-853c-e04691508a34' class='xr-var-data-in' type='checkbox'><label for='data-7aa63b82-1ef1-44e1-853c-e04691508a34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([-109000., -108000., -107000., -106000., -105000., -104000., -103000.,\n",
       "       -102000., -101000., -100000.,  -99000.,  -98000.,  -97000.,  -96000.,\n",
       "        -95000.,  -94000.,  -93000.,  -92000.,  -91000.,  -90000.,  -89000.,\n",
       "        -88000.,  -87000.,  -86000.,  -85000.,  -84000.,  -83000.,  -82000.,\n",
       "        -81000.,  -80000.,  -79000.,  -78000.,  -77000.,  -76000.,  -75000.,\n",
       "        -74000.,  -73000.,  -72000.,  -71000.,  -70000.,  -69000.,  -68000.,\n",
       "        -67000.,  -66000.,  -65000.,  -64000.,  -63000.,  -62000.,  -61000.,\n",
       "        -60000.,  -59000.,  -58000.,  -57000.,  -56000.,  -55000.,  -54000.,\n",
       "        -53000.,  -52000.,  -51000.,  -50000.,  -49000.,  -48000.,  -47000.,\n",
       "        -46000.,  -45000.,  -44000.,  -43000.,  -42000.,  -41000.,  -40000.,\n",
       "        -39000.,  -38000.,  -37000.,  -36000.,  -35000.,  -34000.,  -33000.,\n",
       "        -32000.,  -31000.,  -30000.,  -29000.,  -28000.,  -27000.,  -26000.,\n",
       "        -25000.,  -24000.,  -23000.,  -22000.,  -21000.,  -20000.,  -19000.,\n",
       "        -18000.,  -17000.,  -16000.,  -15000.,  -14000.,  -13000.,  -12000.,\n",
       "        -11000.,  -10000.,   -9000.,   -8000.,   -7000.,   -6000.,   -5000.,\n",
       "         -4000.,   -3000.], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1542000.0 ... -1375000.0</div><input id='attrs-8c9c0e48-9477-4d4b-9bd8-24877ccdba9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c9c0e48-9477-4d4b-9bd8-24877ccdba9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad92a0a7-d1f6-427a-be7b-a375dc29e821' class='xr-var-data-in' type='checkbox'><label for='data-ad92a0a7-d1f6-427a-be7b-a375dc29e821' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([-1542000., -1541000., -1540000., -1539000., -1538000., -1537000.,\n",
       "       -1536000., -1535000., -1534000., -1533000., -1532000., -1531000.,\n",
       "       -1530000., -1529000., -1528000., -1527000., -1526000., -1525000.,\n",
       "       -1524000., -1523000., -1522000., -1521000., -1520000., -1519000.,\n",
       "       -1518000., -1517000., -1516000., -1515000., -1514000., -1513000.,\n",
       "       -1512000., -1511000., -1510000., -1509000., -1508000., -1507000.,\n",
       "       -1506000., -1505000., -1504000., -1503000., -1502000., -1501000.,\n",
       "       -1500000., -1499000., -1498000., -1497000., -1496000., -1495000.,\n",
       "       -1494000., -1493000., -1492000., -1491000., -1490000., -1489000.,\n",
       "       -1488000., -1487000., -1486000., -1485000., -1484000., -1483000.,\n",
       "       -1482000., -1481000., -1480000., -1479000., -1478000., -1477000.,\n",
       "       -1476000., -1475000., -1474000., -1473000., -1472000., -1471000.,\n",
       "       -1470000., -1469000., -1468000., -1467000., -1466000., -1465000.,\n",
       "       -1464000., -1463000., -1462000., -1461000., -1460000., -1459000.,\n",
       "       -1458000., -1457000., -1456000., -1455000., -1454000., -1453000.,\n",
       "       -1452000., -1451000., -1450000., -1449000., -1448000., -1447000.,\n",
       "       -1446000., -1445000., -1444000., -1443000., -1442000., -1441000.,\n",
       "       -1440000., -1439000., -1438000., -1437000., -1436000., -1435000.,\n",
       "       -1434000., -1433000., -1432000., -1431000., -1430000., -1429000.,\n",
       "       -1428000., -1427000., -1426000., -1425000., -1424000., -1423000.,\n",
       "       -1422000., -1421000., -1420000., -1419000., -1418000., -1417000.,\n",
       "       -1416000., -1415000., -1414000., -1413000., -1412000., -1411000.,\n",
       "       -1410000., -1409000., -1408000., -1407000., -1406000., -1405000.,\n",
       "       -1404000., -1403000., -1402000., -1401000., -1400000., -1399000.,\n",
       "       -1398000., -1397000., -1396000., -1395000., -1394000., -1393000.,\n",
       "       -1392000., -1391000., -1390000., -1389000., -1388000., -1387000.,\n",
       "       -1386000., -1385000., -1384000., -1383000., -1382000., -1381000.,\n",
       "       -1380000., -1379000., -1378000., -1377000., -1376000., -1375000.],\n",
       "      dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-578fab22-a362-4f80-879f-acbf12c82ab3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-578fab22-a362-4f80-879f-acbf12c82ab3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1, northing: 107, easting: 168)>\n",
       "array([[[ 8.523356 ,  6.672721 ,  5.5403137, ..., 73.66186  ,\n",
       "         70.910446 , 48.298283 ],\n",
       "        [ 8.516814 ,  6.4711103,  4.0915585, ..., 71.2206   ,\n",
       "         63.447887 , 45.41784  ],\n",
       "        [ 8.514674 ,  4.6757817,  5.146557 , ..., 66.12955  ,\n",
       "         53.662292 , 41.56237  ],\n",
       "        ...,\n",
       "        [10.692512 ,  8.950523 ,  8.976767 , ..., 10.509863 ,\n",
       "         11.189064 , 11.508143 ],\n",
       "        [10.715304 ,  9.13993  ,  8.560611 , ..., 10.134004 ,\n",
       "         11.109069 , 11.6110325],\n",
       "        [ 0.       ,  0.       ,  0.       , ...,  0.       ,\n",
       "          0.       ,  0.       ]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 1980-01-01T12:00:00\n",
       "  * northing  (northing) float32 -109000.0 -108000.0 ... -4000.0 -3000.0\n",
       "  * easting   (easting) float32 -1542000.0 -1541000.0 ... -1376000.0 -1375000.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SMB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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